Michigan Engineering | University of Michigan Look at some of the ways ECE and other University of Michigan researchers are using computer vision for real-world applications.
Michigan and ECE advancing computer vision at CVPR 2023
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Olivia Lee awarded NSF Graduate Research Fellowship for brain-machine interfaces that could improve control of robotic prostheses
Lee designs implantable and wearable electronics to help restore movement to those who have lost limbs or have been paralyzed.
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Walking and slithering aren’t as different as you think
New mathematical model links up slithering with some kinds of swimming and walking, and it could make programming many-legged robots easier.
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Community-builder Leon Pryor takes Detroit’s FIRST Robotics program to new heights
Having excelled in careers at Microsoft, Amazon, and now Meta, the alum and renowned video game engineer co-founded The Motor City Alliance to make Detroit a powerhouse for FIRST Robotics teams
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Atkins chairs National Academies report on speeding discovery with automated research workflows
Prof. Emeritus Daniel Atkins III chaired and Prof. Al Hero served on a National Academies committee that published a new report describing the impact of artificial intelligence and automated research workflow technologies in propelling research and scientific discovery.
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Immune to hacks: Inoculating deep neural networks to thwart attacks
The adaptive immune system serves as a template for defending neural nets from confusion-sowing attacks.
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Research on modeling time-variant systems earns Brockett-Willems Outstanding Paper Award
Prof. Peter Seiler co-authored the paper that focuses on reachability analysis for a variety of systems, including aircraft control and autonomous vehicles.
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Prof. Peter Seiler named IEEE Fellow for his impactful contributions to robust control theory
Seiler’s contributions to Matlab’s Robust Control Toolbox and to the control of vehicle platoons have resulted in major industrial applications.
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Mimicking a human fingertip’s sensitivity and sense of direction for robotic applications
With the help of 1.6 million GaN nanopillars per sensor, the University of Michigan team was able to provide human-level sensitivity with directionality on a compact, easily manufactured system
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$1.7M to build everyday exoskeletons to assist with lifting, walking and climbing stairs
The modular exoskeleton system will help workers and the elderly, boosting ankle, knee and/or hip joints by mounting new motors to off-the-shelf orthotics.
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